Study on Internet Medical Models for the Management of Patients With Hypertension in China
NCT03527563 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 958
Last updated 2019-01-31
Summary
The study is a multi-center, randomized, open, and parallel study. Approximately 958 subjects will be enrolled in 16 sites. The random number table will be adopted to conduct cluster randomization per township hospital/community health service center. Patients will be randomized 1:1 to receive blood pressure management in Internet medical model or Conventional medical model. After follow-ups of 3 months and 6 months, the blood pressure in each group will be observed and compared.
Conditions
Interventions
- BEHAVIORAL
-
Internet Medical Model
Subjects in the Internet group should upload blood pressure monitoring data at least once per day. It is highly recommended to upload two pressure monitoring results to capture more blood pressure information. The warning value of blood pressure set in the cloud database is systolic blood pressure ≥ 180mmHg or ≤ 100mmHg and diastolic blood pressure ≥ 110mmHg or ≤ 60mmHg. After enrollment, subjects and physicians communicate via telephone or Internet every two weeks until blood pressure is well controlled judged by physician. Then the frequency of communication will be changed to once a month. Once there are lacks of blood pressure data in 3 days of each week, or. blood pressure values of the subject exceed the warning value in 2 days of consecutive 3 days, the physician will take the initiative to contact the patient for disease inquiry.
Sponsors & Collaborators
- collaborator INDUSTRY
-
China Cardiovascular Association
lead OTHER
Principal Investigators
-
huo yong, master · Peking University First Hospital
Study Design
- Allocation
- RANDOMIZED
- Purpose
- OTHER
- Masking
- NONE
- Model
- PARALLEL
Eligibility
- Min Age
- 45 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2019-03-31
- Primary Completion
- 2019-09-30
- Completion
- 2019-12-31
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